Overview

Dataset statistics

Number of variables24
Number of observations140787
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.8 MiB
Average record size in memory192.0 B

Variable types

Numeric22
Categorical2

Alerts

Cloud3pm is highly overall correlated with Cloud9am and 1 other fieldsHigh correlation
Cloud9am is highly overall correlated with Cloud3pmHigh correlation
Humidity3pm is highly overall correlated with Humidity9amHigh correlation
Humidity9am is highly overall correlated with Humidity3pmHigh correlation
MaxTemp is highly overall correlated with MinTemp and 2 other fieldsHigh correlation
MinTemp is highly overall correlated with MaxTemp and 2 other fieldsHigh correlation
Pressure3pm is highly overall correlated with Pressure9amHigh correlation
Pressure9am is highly overall correlated with Pressure3pmHigh correlation
RainToday is highly overall correlated with RainfallHigh correlation
Rainfall is highly overall correlated with RainTodayHigh correlation
Sunshine is highly overall correlated with Cloud3pmHigh correlation
Temp3pm is highly overall correlated with MaxTemp and 2 other fieldsHigh correlation
Temp9am is highly overall correlated with MaxTemp and 2 other fieldsHigh correlation
WindGustSpeed is highly overall correlated with WindSpeed3pmHigh correlation
WindSpeed3pm is highly overall correlated with WindGustSpeedHigh correlation
Rainfall has 90275 (64.1%) zerosZeros
Sunshine has 2299 (1.6%) zerosZeros
WindSpeed9am has 8553 (6.1%) zerosZeros
Cloud9am has 8581 (6.1%) zerosZeros
Cloud3pm has 4952 (3.5%) zerosZeros

Reproduction

Analysis started2024-06-06 19:34:03.397767
Analysis finished2024-06-06 19:35:47.345994
Duration1 minute and 43.95 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

Day
Real number (ℝ)

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.714704
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:47.489609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.7988816
Coefficient of variation (CV)0.55991393
Kurtosis-1.1924888
Mean15.714704
Median Absolute Deviation (MAD)8
Skewness0.0087150309
Sum2212426
Variance77.420317
MonotonicityNot monotonic
2024-06-06T21:35:47.681124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
16 4648
 
3.3%
2 4648
 
3.3%
3 4643
 
3.3%
15 4640
 
3.3%
13 4638
 
3.3%
7 4638
 
3.3%
22 4638
 
3.3%
4 4636
 
3.3%
23 4635
 
3.3%
17 4635
 
3.3%
Other values (21) 94388
67.0%
ValueCountFrequency (%)
1 4635
3.3%
2 4648
3.3%
3 4643
3.3%
4 4636
3.3%
5 4622
3.3%
6 4633
3.3%
7 4638
3.3%
8 4626
3.3%
9 4619
3.3%
10 4618
3.3%
ValueCountFrequency (%)
31 2720
1.9%
30 4236
3.0%
29 4321
3.1%
28 4578
3.3%
27 4588
3.3%
26 4589
3.3%
25 4619
3.3%
24 4618
3.3%
23 4635
3.3%
22 4638
3.3%

Month
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4034819
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:47.851246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4265835
Coefficient of variation (CV)0.53511255
Kurtosis-1.1920137
Mean6.4034819
Median Absolute Deviation (MAD)3
Skewness0.028518525
Sum901527
Variance11.741474
MonotonicityNot monotonic
2024-06-06T21:35:48.017828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 12931
9.2%
3 12885
9.2%
1 12797
9.1%
6 12258
8.7%
10 11710
8.3%
7 11660
8.3%
8 11648
8.3%
11 11352
8.1%
9 11222
8.0%
4 11210
8.0%
Other values (2) 21114
15.0%
ValueCountFrequency (%)
1 12797
9.1%
2 10411
7.4%
3 12885
9.2%
4 11210
8.0%
5 12931
9.2%
6 12258
8.7%
7 11660
8.3%
8 11648
8.3%
9 11222
8.0%
10 11710
8.3%
ValueCountFrequency (%)
12 10703
7.6%
11 11352
8.1%
10 11710
8.3%
9 11222
8.0%
8 11648
8.3%
7 11660
8.3%
6 12258
8.7%
5 12931
9.2%
4 11210
8.0%
3 12885
9.2%

Location
Real number (ℝ)

Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.020774177
Minimum0.010668599
Maximum0.024164163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:48.213337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.010668599
5-th percentile0.016876558
Q10.020768963
median0.021195139
Q30.021450844
95-th percentile0.022679651
Maximum0.024164163
Range0.013495564
Interquartile range (IQR)0.00068188114

Descriptive statistics

Standard deviation0.0021904607
Coefficient of variation (CV)0.10544152
Kurtosis11.147858
Mean0.020774177
Median Absolute Deviation (MAD)0.00030542593
Skewness-3.0327762
Sum2924.7341
Variance4.7981182 × 10-6
MonotonicityNot monotonic
2024-06-06T21:35:48.449677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.02145084418 6040
 
4.3%
0.02137271197 6018
 
4.3%
0.0212803739 5992
 
4.3%
0.02119513876 5968
 
4.2%
0.02076896304 5848
 
4.2%
0.02416416288 3402
 
2.4%
0.02365985496 3331
 
2.4%
0.02267965082 3193
 
2.3%
0.02267254789 3192
 
2.3%
0.02260862153 3183
 
2.3%
Other values (34) 94620
67.2%
ValueCountFrequency (%)
0.01066859866 1502
1.1%
0.01097402459 1545
1.1%
0.01111608316 1565
1.1%
0.01632252978 2298
1.6%
0.0168765582 2376
1.7%
0.01879434891 2646
1.9%
0.01967511205 2770
2.0%
0.01982427355 2791
2.0%
0.02000184676 2816
2.0%
0.0204351254 2877
2.0%
ValueCountFrequency (%)
0.02416416288 3402
2.4%
0.02365985496 3331
2.4%
0.02267965082 3193
2.3%
0.02267254789 3192
2.3%
0.02260862153 3183
2.3%
0.02224637218 3132
2.2%
0.02152187347 3030
2.2%
0.02150056468 3027
2.2%
0.02148635883 3025
2.1%
0.02146505004 3022
2.1%

MinTemp
Real number (ℝ)

HIGH CORRELATION 

Distinct628
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.213091
Minimum-8.5
Maximum33.9
Zeros156
Zeros (%)0.1%
Negative3355
Negative (%)2.4%
Memory size1.1 MiB
2024-06-06T21:35:48.855593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-8.5
5-th percentile1.8
Q17.6
median12
Q316.9
95-th percentile23.1
Maximum33.9
Range42.4
Interquartile range (IQR)9.3

Descriptive statistics

Standard deviation6.41957
Coefficient of variation (CV)0.52563026
Kurtosis-0.48934651
Mean12.213091
Median Absolute Deviation (MAD)4.6
Skewness0.029232043
Sum1719444.4
Variance41.210879
MonotonicityNot monotonic
2024-06-06T21:35:49.130856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6 875
 
0.6%
10.2 873
 
0.6%
11 868
 
0.6%
10.5 855
 
0.6%
10.8 854
 
0.6%
9 847
 
0.6%
12 845
 
0.6%
10 839
 
0.6%
8.9 837
 
0.6%
13 835
 
0.6%
Other values (618) 132259
93.9%
ValueCountFrequency (%)
-8.5 1
 
< 0.1%
-8.2 2
 
< 0.1%
-8 1
 
< 0.1%
-7.8 1
 
< 0.1%
-7.6 2
 
< 0.1%
-7.5 2
 
< 0.1%
-7.3 1
 
< 0.1%
-7.2 1
 
< 0.1%
-7.1 1
 
< 0.1%
-7 6
< 0.1%
ValueCountFrequency (%)
33.9 1
 
< 0.1%
31.9 1
 
< 0.1%
31.8 1
 
< 0.1%
31.4 3
< 0.1%
31.2 1
 
< 0.1%
31 1
 
< 0.1%
30.7 2
< 0.1%
30.5 1
 
< 0.1%
30.3 1
 
< 0.1%
30.2 1
 
< 0.1%

MaxTemp
Real number (ℝ)

HIGH CORRELATION 

Distinct691
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.266629
Minimum-4.8
Maximum48.1
Zeros12
Zeros (%)< 0.1%
Negative99
Negative (%)0.1%
Memory size1.1 MiB
2024-06-06T21:35:49.522813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.8
5-th percentile12.9
Q117.9
median22.7
Q328.3
95-th percentile35.6
Maximum48.1
Range52.9
Interquartile range (IQR)10.4

Descriptive statistics

Standard deviation7.1496889
Coefficient of variation (CV)0.30729371
Kurtosis-0.22460919
Mean23.266629
Median Absolute Deviation (MAD)5.1
Skewness0.24590102
Sum3275638.9
Variance51.118052
MonotonicityNot monotonic
2024-06-06T21:35:49.746946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 857
 
0.6%
19.8 819
 
0.6%
19 816
 
0.6%
20.4 806
 
0.6%
19.9 801
 
0.6%
20.8 797
 
0.6%
19.5 795
 
0.6%
18.2 784
 
0.6%
21 784
 
0.6%
18.9 783
 
0.6%
Other values (681) 132745
94.3%
ValueCountFrequency (%)
-4.8 1
< 0.1%
-4.1 1
< 0.1%
-3.8 1
< 0.1%
-3.7 1
< 0.1%
-3.2 1
< 0.1%
-3.1 2
< 0.1%
-3 1
< 0.1%
-2.9 1
< 0.1%
-2.5 2
< 0.1%
-2.4 1
< 0.1%
ValueCountFrequency (%)
48.1 1
 
< 0.1%
47.3 2
< 0.1%
47 1
 
< 0.1%
46.9 1
 
< 0.1%
46.8 3
< 0.1%
46.7 2
< 0.1%
46.6 1
 
< 0.1%
46.5 1
 
< 0.1%
46.4 4
< 0.1%
46.3 2
< 0.1%

Rainfall
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct679
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3499741
Minimum0
Maximum371
Zeros90275
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:49.958729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.8
95-th percentile13
Maximum371
Range371
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation8.4651729
Coefficient of variation (CV)3.602241
Kurtosis180.0021
Mean2.3499741
Median Absolute Deviation (MAD)0
Skewness9.8880611
Sum330845.8
Variance71.659153
MonotonicityNot monotonic
2024-06-06T21:35:50.185098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 90275
64.1%
0.2 8685
 
6.2%
0.4 3750
 
2.7%
0.6 2562
 
1.8%
0.8 2028
 
1.4%
1 1747
 
1.2%
1.2 1515
 
1.1%
1.4 1365
 
1.0%
1.6 1187
 
0.8%
1.8 1088
 
0.8%
Other values (669) 26585
 
18.9%
ValueCountFrequency (%)
0 90275
64.1%
0.1 154
 
0.1%
0.2 8685
 
6.2%
0.3 64
 
< 0.1%
0.4 3750
 
2.7%
0.5 39
 
< 0.1%
0.6 2562
 
1.8%
0.7 13
 
< 0.1%
0.8 2028
 
1.4%
0.9 15
 
< 0.1%
ValueCountFrequency (%)
371 1
< 0.1%
367.6 1
< 0.1%
278.4 1
< 0.1%
268.6 1
< 0.1%
247.2 1
< 0.1%
240 1
< 0.1%
236.8 1
< 0.1%
225 1
< 0.1%
219.6 1
< 0.1%
216.3 1
< 0.1%

Evaporation
Real number (ℝ)

Distinct6552
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5701485
Minimum0
Maximum145
Zeros239
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:50.645894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q14
median8.8589602
Q315.77078
95-th percentile17.922625
Maximum145
Range145
Interquartile range (IQR)11.77078

Descriptive statistics

Standard deviation6.0158517
Coefficient of variation (CV)0.62860589
Kurtosis3.2543072
Mean9.5701485
Median Absolute Deviation (MAD)5.5638199
Skewness0.55465167
Sum1347352.5
Variance36.190472
MonotonicityNot monotonic
2024-06-06T21:35:50.868865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.12067448 10768
 
7.6%
4 3271
 
2.3%
11.84162486 2625
 
1.9%
8 2571
 
1.8%
2.2 2051
 
1.5%
16.34386192 2010
 
1.4%
2 1993
 
1.4%
2.6 1965
 
1.4%
2.4 1957
 
1.4%
1.8 1934
 
1.4%
Other values (6542) 109642
77.9%
ValueCountFrequency (%)
0 239
 
0.2%
0.1 8
 
< 0.1%
0.2 496
 
0.4%
0.3 10
 
< 0.1%
0.4 755
0.5%
0.5 14
 
< 0.1%
0.6 1077
0.8%
0.7 24
 
< 0.1%
0.8 1355
1.0%
0.9 28
 
< 0.1%
ValueCountFrequency (%)
145 1
< 0.1%
86.2 1
< 0.1%
82.4 1
< 0.1%
81.2 1
< 0.1%
77.3 1
< 0.1%
74.8 1
< 0.1%
72.2 1
< 0.1%
70.4 1
< 0.1%
70 1
< 0.1%
68.8 2
< 0.1%

Sunshine
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct5417
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0128647
Minimum0
Maximum14.5
Zeros2299
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:51.087312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.4
Q15.1594485
median7.0372786
Q39
95-th percentile12.1
Maximum14.5
Range14.5
Interquartile range (IQR)3.8405515

Descriptive statistics

Standard deviation2.9723762
Coefficient of variation (CV)0.42384622
Kurtosis-0.12360835
Mean7.0128647
Median Absolute Deviation (MAD)1.8778301
Skewness-0.1052941
Sum987320.18
Variance8.8350203
MonotonicityNot monotonic
2024-06-06T21:35:51.300739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.03727863 11033
 
7.8%
7.007107599 3055
 
2.2%
7.231120095 2673
 
1.9%
0 2299
 
1.6%
5.159448543 1927
 
1.4%
6.804200413 1770
 
1.3%
4.128593965 1748
 
1.2%
3.955654043 1618
 
1.1%
7.17712865 1531
 
1.1%
7.533033238 1484
 
1.1%
Other values (5407) 111649
79.3%
ValueCountFrequency (%)
0 2299
1.6%
0.1 527
 
0.4%
0.2 508
 
0.4%
0.3 418
 
0.3%
0.4 318
 
0.2%
0.5 310
 
0.2%
0.6 291
 
0.2%
0.7 335
 
0.2%
0.8 314
 
0.2%
0.9 317
 
0.2%
ValueCountFrequency (%)
14.5 1
 
< 0.1%
14.3 4
 
< 0.1%
14.2 2
 
< 0.1%
14.1 6
 
< 0.1%
14 15
 
< 0.1%
13.9 22
 
< 0.1%
13.8 56
 
< 0.1%
13.7 117
0.1%
13.6 180
0.1%
13.5 179
0.1%

WindGustDir
Real number (ℝ)

Distinct774
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.063648854
Minimum0.048410624
Maximum0.073664377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:51.523144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.048410624
5-th percentile0.049466663
Q10.060315748
median0.066872303
Q30.067928341
95-th percentile0.073664377
Maximum0.073664377
Range0.025253753
Interquartile range (IQR)0.0076125934

Descriptive statistics

Standard deviation0.0068815549
Coefficient of variation (CV)0.1081175
Kurtosis-0.26329458
Mean0.063648854
Median Absolute Deviation (MAD)0.0025789661
Skewness-0.83808725
Sum8960.9312
Variance4.7355798 × 10-5
MonotonicityNot monotonic
2024-06-06T21:35:51.744525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07366437732 9696
 
6.9%
0.07020756093 9241
 
6.6%
0.06826262688 8985
 
6.4%
0.06792834134 8941
 
6.4%
0.06765483498 8905
 
6.3%
0.06730535465 8859
 
6.3%
0.06687230292 8802
 
6.3%
0.06611256306 8702
 
6.2%
0.06488938188 8541
 
6.1%
0.06047529326 7960
 
5.7%
Other values (764) 52155
37.0%
ValueCountFrequency (%)
0.0484106242 6372
4.5%
0.04946666261 6511
4.6%
0.05319698535 7002
5.0%
0.05503555583 7244
5.1%
0.06020178691 7924
5.6%
0.06031574789 7939
5.6%
0.06047529326 7960
5.7%
0.06267169764 1
 
< 0.1%
0.06328125879 1
 
< 0.1%
0.0634272133 1
 
< 0.1%
ValueCountFrequency (%)
0.07366437732 9696
6.9%
0.07055456775 1
 
< 0.1%
0.07034994604 6
 
< 0.1%
0.07026413031 29
 
< 0.1%
0.07020756093 9241
6.6%
0.07020706465 4
 
< 0.1%
0.07012010821 5
 
< 0.1%
0.070079383 1
 
< 0.1%
0.07002378905 64
 
< 0.1%
0.06999621824 1
 
< 0.1%

WindGustSpeed
Real number (ℝ)

HIGH CORRELATION 

Distinct2124
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.845705
Minimum6
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:51.963966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile20
Q131
median39
Q350
95-th percentile82.364816
Maximum135
Range129
Interquartile range (IQR)19

Descriptive statistics

Standard deviation17.768259
Coefficient of variation (CV)0.41470339
Kurtosis2.0779919
Mean42.845705
Median Absolute Deviation (MAD)9
Skewness1.3611026
Sum6032118.3
Variance315.71103
MonotonicityNot monotonic
2024-06-06T21:35:52.202301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 8988
 
6.4%
39 8574
 
6.1%
31 8226
 
5.8%
37 7842
 
5.6%
33 7742
 
5.5%
41 7177
 
5.1%
30 6878
 
4.9%
43 6457
 
4.6%
28 6326
 
4.5%
44 5291
 
3.8%
Other values (2114) 67286
47.8%
ValueCountFrequency (%)
6 1
 
< 0.1%
7 18
 
< 0.1%
9 91
 
0.1%
11 190
 
0.1%
13 527
 
0.4%
15 825
 
0.6%
17 1364
1.0%
19 1712
1.2%
20 2574
1.8%
22 2763
2.0%
ValueCountFrequency (%)
135 2
 
< 0.1%
130 1
 
< 0.1%
126 2
 
< 0.1%
124 2
 
< 0.1%
122 2
 
< 0.1%
120 3
 
< 0.1%
117 4
< 0.1%
115 5
< 0.1%
113 8
< 0.1%
111 3
 
< 0.1%

WindDir9am
Real number (ℝ)

Distinct565
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.063519897
Minimum0.051751356
Maximum0.085916707
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:52.425706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.051751356
5-th percentile0.054145981
Q10.05733373
median0.062588178
Q30.067880757
95-th percentile0.085916707
Maximum0.085916707
Range0.034165351
Interquartile range (IQR)0.010547027

Descriptive statistics

Standard deviation0.0081614516
Coefficient of variation (CV)0.12848654
Kurtosis1.9500232
Mean0.063519897
Median Absolute Deviation (MAD)0.005254448
Skewness1.3732034
Sum8942.7758
Variance6.6609292 × 10-5
MonotonicityNot monotonic
2024-06-06T21:35:52.654604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0859167067 11266
 
8.0%
0.06952038863 9116
 
6.5%
0.0684603476 8977
 
6.4%
0.06788075682 8901
 
6.3%
0.06460149321 8471
 
6.0%
0.06424306207 8424
 
6.0%
0.06258817787 8207
 
5.8%
0.06222974673 8160
 
5.8%
0.0600715337 7877
 
5.6%
0.05934704523 7782
 
5.5%
Other values (555) 53606
38.1%
ValueCountFrequency (%)
0.05175135556 6786
4.8%
0.05414598061 7100
5.0%
0.05641096037 7397
5.3%
0.05702105592 7477
5.3%
0.0573337299 7518
5.3%
0.05847765906 7668
5.4%
0.05917662857 1
 
< 0.1%
0.05934704523 7782
5.5%
0.0600715337 7877
5.6%
0.06024937966 1
 
< 0.1%
ValueCountFrequency (%)
0.0859167067 11266
8.0%
0.0703487991 1
 
< 0.1%
0.06952038863 9116
6.5%
0.06879195239 1
 
< 0.1%
0.0684603476 8977
6.4%
0.0682861614 2
 
< 0.1%
0.06823955833 1
 
< 0.1%
0.06813127851 2
 
< 0.1%
0.06806165963 1
 
< 0.1%
0.06800972307 1
 
< 0.1%

WindDir3pm
Real number (ℝ)

Distinct572
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.063280473
Minimum0.046478555
Maximum0.077145795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:52.888674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.046478555
5-th percentile0.055755304
Q10.059124689
median0.062457609
Q30.067322068
95-th percentile0.077145795
Maximum0.077145795
Range0.03066724
Interquartile range (IQR)0.0081973789

Descriptive statistics

Standard deviation0.0068113858
Coefficient of variation (CV)0.10763804
Kurtosis0.35737498
Mean0.063280473
Median Absolute Deviation (MAD)0.0039382425
Skewness-0.046471094
Sum8909.068
Variance4.6394977 × 10-5
MonotonicityNot monotonic
2024-06-06T21:35:53.122559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0771457952 10578
 
7.5%
0.07154473916 9810
 
7.0%
0.06919637973 9488
 
6.7%
0.06732206801 9231
 
6.6%
0.06639585172 9104
 
6.5%
0.06591451097 9038
 
6.4%
0.0626691074 8593
 
6.1%
0.0624576092 8564
 
6.1%
0.0612177921 8394
 
6.0%
0.06061246964 8311
 
5.9%
Other values (562) 49676
35.3%
ValueCountFrequency (%)
0.04647855481 6373
4.5%
0.05575530386 7645
5.4%
0.05589387166 7664
5.4%
0.05794321638 7945
5.6%
0.05912468913 8107
5.8%
0.06032804102 8272
5.9%
0.06061246964 8311
5.9%
0.0612177921 8394
6.0%
0.06139012062 3
 
< 0.1%
0.06139593735 1
 
< 0.1%
ValueCountFrequency (%)
0.0771457952 10578
7.5%
0.07154473916 9810
7.0%
0.06919637973 9488
6.7%
0.0676466878 2
 
< 0.1%
0.06758130939 1
 
< 0.1%
0.06732206801 9231
6.6%
0.06704238766 1
 
< 0.1%
0.066747911 1
 
< 0.1%
0.06651677043 1
 
< 0.1%
0.06639585172 9104
6.5%

WindSpeed9am
Real number (ℝ)

ZEROS 

Distinct370
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.007036
Minimum0
Maximum130
Zeros8553
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:53.355935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median13
Q319
95-th percentile30
Maximum130
Range130
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.8575149
Coefficient of variation (CV)0.63236183
Kurtosis1.244711
Mean14.007036
Median Absolute Deviation (MAD)6
Skewness0.77148327
Sum1972008.6
Variance78.45557
MonotonicityNot monotonic
2024-06-06T21:35:53.590308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 13291
 
9.4%
13 12737
 
9.0%
11 11431
 
8.1%
7 10506
 
7.5%
17 10499
 
7.5%
15 10320
 
7.3%
6 8939
 
6.3%
0 8553
 
6.1%
19 8525
 
6.1%
20 7851
 
5.6%
Other values (360) 38135
27.1%
ValueCountFrequency (%)
0 8553
6.1%
2 4519
 
3.2%
4 6254
4.4%
6 8939
6.3%
7 10506
7.5%
9 13291
9.4%
9.204328732 1
 
< 0.1%
9.471989507 1
 
< 0.1%
9.69144874 1
 
< 0.1%
10.07860151 1
 
< 0.1%
ValueCountFrequency (%)
130 1
 
< 0.1%
87 2
 
< 0.1%
83 1
 
< 0.1%
74 4
 
< 0.1%
72 1
 
< 0.1%
69 2
 
< 0.1%
67 3
 
< 0.1%
65 7
< 0.1%
63 8
< 0.1%
61 11
< 0.1%

WindSpeed3pm
Real number (ℝ)

HIGH CORRELATION 

Distinct649
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.893889
Minimum-0.35416713
Maximum87
Zeros1088
Zeros (%)0.8%
Negative1
Negative (%)< 0.1%
Memory size1.1 MiB
2024-06-06T21:35:53.823689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.35416713
5-th percentile6
Q113
median19
Q324
95-th percentile35
Maximum87
Range87.354167
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.0098453
Coefficient of variation (CV)0.47686558
Kurtosis0.58033192
Mean18.893889
Median Absolute Deviation (MAD)6
Skewness0.6213326
Sum2660013.9
Variance81.177312
MonotonicityNot monotonic
2024-06-06T21:35:54.046111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 12215
 
8.7%
17 12209
 
8.7%
20 11385
 
8.1%
15 11196
 
8.0%
19 10952
 
7.8%
11 9760
 
6.9%
9 9493
 
6.7%
24 8760
 
6.2%
22 8330
 
5.9%
28 6330
 
4.5%
Other values (639) 40157
28.5%
ValueCountFrequency (%)
-0.354167131 1
 
< 0.1%
0 1088
0.8%
0.1754511693 1
 
< 0.1%
0.333379652 2
 
< 0.1%
0.391073783 1
 
< 0.1%
0.7463459997 1
 
< 0.1%
0.8787364102 1
 
< 0.1%
0.9193577571 1
 
< 0.1%
2 999
0.7%
2.435037061 1
 
< 0.1%
ValueCountFrequency (%)
87 1
 
< 0.1%
83 2
 
< 0.1%
78 1
 
< 0.1%
76 2
 
< 0.1%
74 1
 
< 0.1%
72 2
 
< 0.1%
69 3
 
< 0.1%
67 1
 
< 0.1%
65 17
< 0.1%
63 13
< 0.1%

Humidity9am
Real number (ℝ)

HIGH CORRELATION 

Distinct695
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.815978
Minimum0
Maximum103.67175
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:54.252617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q157
median70
Q383
95-th percentile98
Maximum103.67175
Range103.67175
Interquartile range (IQR)26

Descriptive statistics

Standard deviation19.042858
Coefficient of variation (CV)0.27672145
Kurtosis-0.049084663
Mean68.815978
Median Absolute Deviation (MAD)13
Skewness-0.47448891
Sum9688395.1
Variance362.63042
MonotonicityNot monotonic
2024-06-06T21:35:54.484590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99 3326
 
2.4%
70 2952
 
2.1%
69 2940
 
2.1%
65 2933
 
2.1%
68 2932
 
2.1%
71 2920
 
2.1%
66 2887
 
2.1%
67 2867
 
2.0%
64 2840
 
2.0%
75 2838
 
2.0%
Other values (685) 111352
79.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 5
 
< 0.1%
2 8
 
< 0.1%
3 10
 
< 0.1%
4 20
 
< 0.1%
5 27
 
< 0.1%
6 37
< 0.1%
7 43
< 0.1%
8 56
< 0.1%
9 71
0.1%
ValueCountFrequency (%)
103.6717547 1
 
< 0.1%
102.069578 1
 
< 0.1%
101.3603449 1
 
< 0.1%
100.9189143 1
 
< 0.1%
100.2802885 1
 
< 0.1%
100 2815
2.0%
99.35668786 1
 
< 0.1%
99 3326
2.4%
98.99723157 1
 
< 0.1%
98.66015659 1
 
< 0.1%

Humidity3pm
Real number (ℝ)

HIGH CORRELATION 

Distinct907
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.898082
Minimum0
Maximum100
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:54.705025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q137
median52
Q366
95-th percentile87
Maximum100
Range100
Interquartile range (IQR)29

Descriptive statistics

Standard deviation20.885775
Coefficient of variation (CV)0.40243827
Kurtosis-0.55288767
Mean51.898082
Median Absolute Deviation (MAD)15
Skewness0.012569436
Sum7306575.3
Variance436.21558
MonotonicityNot monotonic
2024-06-06T21:35:54.925960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 2668
 
1.9%
55 2654
 
1.9%
57 2652
 
1.9%
53 2632
 
1.9%
59 2612
 
1.9%
58 2578
 
1.8%
54 2570
 
1.8%
51 2553
 
1.8%
50 2552
 
1.8%
56 2546
 
1.8%
Other values (897) 114770
81.5%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 26
 
< 0.1%
2 35
 
< 0.1%
3 63
 
< 0.1%
4 113
 
0.1%
5 154
 
0.1%
6 239
0.2%
7 301
0.2%
8 418
0.3%
9 478
0.3%
ValueCountFrequency (%)
100 385
0.3%
99 421
0.3%
98 578
0.4%
97 388
0.3%
96 447
0.3%
95 448
0.3%
94 540
0.4%
93 586
0.4%
92 629
0.4%
91 597
0.4%

Pressure9am
Real number (ℝ)

HIGH CORRELATION 

Distinct1971
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1016.7442
Minimum980.5
Maximum1041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:55.128419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum980.5
5-th percentile1006.2
Q11011.1414
median1016.7
Q31021.9
95-th percentile1029.1
Maximum1041
Range60.5
Interquartile range (IQR)10.758612

Descriptive statistics

Standard deviation7.3609332
Coefficient of variation (CV)0.0072397103
Kurtosis-0.16927835
Mean1016.7442
Median Absolute Deviation (MAD)5.4
Skewness0.072138274
Sum1.4314436 × 108
Variance54.183337
MonotonicityNot monotonic
2024-06-06T21:35:55.345864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1007.357265 3145
 
2.2%
1007.359963 1006
 
0.7%
1016.4 799
 
0.6%
1017.9 773
 
0.5%
1018.7 754
 
0.5%
1017.8 752
 
0.5%
1018 750
 
0.5%
1015.9 748
 
0.5%
1017.3 747
 
0.5%
1016.3 745
 
0.5%
Other values (1961) 130568
92.7%
ValueCountFrequency (%)
980.5 1
< 0.1%
982 1
< 0.1%
982.2 1
< 0.1%
982.3 1
< 0.1%
982.9 2
< 0.1%
983.7 1
< 0.1%
983.9 1
< 0.1%
984.4 1
< 0.1%
984.6 2
< 0.1%
985 1
< 0.1%
ValueCountFrequency (%)
1041 1
 
< 0.1%
1040.9 1
 
< 0.1%
1040.6 2
< 0.1%
1040.5 1
 
< 0.1%
1040.4 3
< 0.1%
1040.3 3
< 0.1%
1040.2 2
< 0.1%
1040.1 3
< 0.1%
1040 1
 
< 0.1%
1039.9 3
< 0.1%

Pressure3pm
Real number (ℝ)

HIGH CORRELATION 

Distinct2132
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1015.4883
Minimum977.1
Maximum1039.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:55.557299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum977.1
5-th percentile1004.4
Q11011
median1016.0832
Q31019.6
95-th percentile1026.6
Maximum1039.6
Range62.5
Interquartile range (IQR)8.6

Descriptive statistics

Standard deviation6.7405191
Coefficient of variation (CV)0.0066377123
Kurtosis0.38714206
Mean1015.4883
Median Absolute Deviation (MAD)4.2831741
Skewness-0.13461156
Sum1.4296755 × 108
Variance45.434598
MonotonicityNot monotonic
2024-06-06T21:35:55.770352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1017.701083 2640
 
1.9%
1016.190087 1159
 
0.8%
1015.5 767
 
0.5%
1015.3 763
 
0.5%
1015.7 760
 
0.5%
1015.6 757
 
0.5%
1013.5 747
 
0.5%
1015.1 745
 
0.5%
1015.8 738
 
0.5%
1015.4 734
 
0.5%
Other values (2122) 130977
93.0%
ValueCountFrequency (%)
977.1 1
< 0.1%
978.2 1
< 0.1%
979 1
< 0.1%
980.2 2
< 0.1%
981.2 1
< 0.1%
981.4 1
< 0.1%
981.9 1
< 0.1%
982.2 1
< 0.1%
982.6 1
< 0.1%
982.9 1
< 0.1%
ValueCountFrequency (%)
1039.6 1
 
< 0.1%
1038.9 1
 
< 0.1%
1038.5 1
 
< 0.1%
1038.4 1
 
< 0.1%
1038.2 1
 
< 0.1%
1038 1
 
< 0.1%
1037.9 2
< 0.1%
1037.8 2
< 0.1%
1037.7 3
< 0.1%
1037.6 1
 
< 0.1%

Cloud9am
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2443
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9581909
Minimum0
Maximum9
Zeros8581
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:56.013762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.8187836
median3.0813606
Q36
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)3.1812164

Descriptive statistics

Standard deviation2.3851543
Coefficient of variation (CV)0.60258697
Kurtosis-1.0085275
Mean3.9581909
Median Absolute Deviation (MAD)1.9186394
Skewness0.28268759
Sum557261.82
Variance5.6889609
MonotonicityNot monotonic
2024-06-06T21:35:56.218248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.08136062 21603
15.3%
7 19691
14.0%
1 15514
11.0%
8 14224
10.1%
0 8581
 
6.1%
6 8046
 
5.7%
2 6424
 
4.6%
3 5837
 
4.1%
5 5492
 
3.9%
4 4351
 
3.1%
Other values (2433) 31024
22.0%
ValueCountFrequency (%)
0 8581
6.1%
1 15514
11.0%
1.28115335 2
 
< 0.1%
1.370986744 1
 
< 0.1%
1.603331372 1
 
< 0.1%
1.643982465 1
 
< 0.1%
1.691832736 1
 
< 0.1%
1.701116338 1
 
< 0.1%
1.702603865 1
 
< 0.1%
1.746798268 1
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 14224
10.1%
7 19691
14.0%
6.26273687 1
 
< 0.1%
6.230562466 2
 
< 0.1%
6.221242345 23
 
< 0.1%
6.117138232 2
 
< 0.1%
6.110895733 1
 
< 0.1%
6.107818111 2
 
< 0.1%
6.10353814 1
 
< 0.1%

Cloud3pm
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2651
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0610362
Minimum0
Maximum9
Zeros4952
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-06T21:35:56.422770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3.4093881
Q36
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1880956
Coefficient of variation (CV)0.53880229
Kurtosis-0.75480318
Mean4.0610362
Median Absolute Deviation (MAD)1.4093881
Skewness0.28605027
Sum571741.1
Variance4.7877622
MonotonicityNot monotonic
2024-06-06T21:35:56.647245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.305692184 18453
13.1%
7 17999
12.8%
1 14759
 
10.5%
8 12257
 
8.7%
6 8837
 
6.3%
2 7128
 
5.1%
3 6805
 
4.8%
5 6725
 
4.8%
4 5230
 
3.7%
0 4952
 
3.5%
Other values (2641) 37642
26.7%
ValueCountFrequency (%)
0 4952
 
3.5%
0.7156647158 1
 
< 0.1%
0.7305184204 1
 
< 0.1%
1 14759
10.5%
1.070095304 1
 
< 0.1%
1.073809765 1
 
< 0.1%
1.225357855 1
 
< 0.1%
1.315810713 1
 
< 0.1%
1.323479008 2
 
< 0.1%
1.345531561 2
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 12257
8.7%
7 17999
12.8%
6.589652207 1
 
< 0.1%
6.469657902 1
 
< 0.1%
6.439279767 1
 
< 0.1%
6.386967825 1
 
< 0.1%
6.386866925 1
 
< 0.1%
6.382595034 1
 
< 0.1%
6.359354733 2
 
< 0.1%

Temp9am
Real number (ℝ)

HIGH CORRELATION 

Distinct625
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.028984
Minimum-7.2
Maximum40.2
Zeros33
Zeros (%)< 0.1%
Negative416
Negative (%)0.3%
Memory size1.1 MiB
2024-06-06T21:35:56.893623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-7.2
5-th percentile6.9
Q112.3
median16.7
Q321.6
95-th percentile28.3
Maximum40.2
Range47.4
Interquartile range (IQR)9.3

Descriptive statistics

Standard deviation6.5220654
Coefficient of variation (CV)0.3829979
Kurtosis-0.36957467
Mean17.028984
Median Absolute Deviation (MAD)4.7
Skewness0.090678258
Sum2397459.6
Variance42.537337
MonotonicityNot monotonic
2024-06-06T21:35:57.128956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 898
 
0.6%
13.8 875
 
0.6%
14.8 866
 
0.6%
16 864
 
0.6%
16.6 851
 
0.6%
14 847
 
0.6%
15 843
 
0.6%
16.5 832
 
0.6%
17.8 822
 
0.6%
13 822
 
0.6%
Other values (615) 132267
93.9%
ValueCountFrequency (%)
-7.2 1
 
< 0.1%
-7 1
 
< 0.1%
-6.2 1
 
< 0.1%
-5.9 1
 
< 0.1%
-5.6 2
 
< 0.1%
-5.5 2
 
< 0.1%
-5.3 2
 
< 0.1%
-5.2 5
< 0.1%
-4.8 1
 
< 0.1%
-4.5 2
 
< 0.1%
ValueCountFrequency (%)
40.2 1
< 0.1%
39.4 1
< 0.1%
39.1 1
< 0.1%
39 1
< 0.1%
38.9 1
< 0.1%
38.6 1
< 0.1%
38.3 1
< 0.1%
38.2 1
< 0.1%
38 1
< 0.1%
37.9 1
< 0.1%

Temp3pm
Real number (ℝ)

HIGH CORRELATION 

Distinct918
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.766007
Minimum-5.4
Maximum46.7
Zeros16
Zeros (%)< 0.1%
Negative163
Negative (%)0.1%
Memory size1.1 MiB
2024-06-06T21:35:57.356349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5.4
5-th percentile11.6
Q116.7
median21.3
Q326.3
95-th percentile33.6
Maximum46.7
Range52.1
Interquartile range (IQR)9.6

Descriptive statistics

Standard deviation6.8953024
Coefficient of variation (CV)0.31679225
Kurtosis-0.14769271
Mean21.766007
Median Absolute Deviation (MAD)4.8
Skewness0.21480025
Sum3064370.8
Variance47.545195
MonotonicityNot monotonic
2024-06-06T21:35:57.602690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 862
 
0.6%
19 852
 
0.6%
18.4 847
 
0.6%
18.5 846
 
0.6%
17.8 841
 
0.6%
19.4 816
 
0.6%
19.2 813
 
0.6%
18 810
 
0.6%
19.3 810
 
0.6%
17 806
 
0.6%
Other values (908) 132484
94.1%
ValueCountFrequency (%)
-5.4 1
 
< 0.1%
-5.1 1
 
< 0.1%
-4.4 1
 
< 0.1%
-4.2 1
 
< 0.1%
-4.1 1
 
< 0.1%
-4 1
 
< 0.1%
-3.9 2
< 0.1%
-3.8 1
 
< 0.1%
-3.7 3
< 0.1%
-3.5 3
< 0.1%
ValueCountFrequency (%)
46.7 1
 
< 0.1%
46.2 1
 
< 0.1%
46.1 3
< 0.1%
45.9 1
 
< 0.1%
45.8 2
< 0.1%
45.4 1
 
< 0.1%
45.3 2
< 0.1%
45.2 2
< 0.1%
45 1
 
< 0.1%
44.9 1
 
< 0.1%

RainToday
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
0.0
109332 
1.0
31455 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters422361
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 109332
77.7%
1.0 31455
 
22.3%

Length

2024-06-06T21:35:57.827121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-06T21:35:58.254207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 109332
77.7%
1.0 31455
 
22.3%

Most occurring characters

ValueCountFrequency (%)
0 250119
59.2%
. 140787
33.3%
1 31455
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 281574
66.7%
Other Punctuation 140787
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 250119
88.8%
1 31455
 
11.2%
Other Punctuation
ValueCountFrequency (%)
. 140787
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 422361
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 250119
59.2%
. 140787
33.3%
1 31455
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 422361
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 250119
59.2%
. 140787
33.3%
1 31455
 
7.4%

RainTomorrow
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
0.0
109586 
1.0
31201 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters422361
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 109586
77.8%
1.0 31201
 
22.2%

Length

2024-06-06T21:35:58.433728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-06T21:35:58.616243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 109586
77.8%
1.0 31201
 
22.2%

Most occurring characters

ValueCountFrequency (%)
0 250373
59.3%
. 140787
33.3%
1 31201
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 281574
66.7%
Other Punctuation 140787
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 250373
88.9%
1 31201
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 140787
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 422361
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 250373
59.3%
. 140787
33.3%
1 31201
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 422361
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 250373
59.3%
. 140787
33.3%
1 31201
 
7.4%

Interactions

2024-06-06T21:35:42.396468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:14.642915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:19.786926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:24.934405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:31.185395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:35.778073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:40.534458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:44.379246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:48.164690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:51.904078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:56.162858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:00.625613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:04.783269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:08.778471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:12.493264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:16.189918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:19.852585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:23.762732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:27.619533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:31.372058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:34.946163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:38.804380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:42.560030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:14.934141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:19.985395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:25.429082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:31.350952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:36.031395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:40.702601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:44.541271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:48.336238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:52.354413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:56.339947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:00.844685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:04.954782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:08.947022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:12.654144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:16.355486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:20.023635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:23.929259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:27.787086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:31.534666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:35.104797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:38.981801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:42.722596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:15.187454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:20.167935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:25.861073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:31.530473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:36.198854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:40.879105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:44.700871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:48.522735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:52.511515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:56.509470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:01.050853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:05.120340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:09.107564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:12.808500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:16.511654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:20.187704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:24.094843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:27.951685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:31.689145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:35.257362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:39.138967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:42.920095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:15.392936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:20.431203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:26.229118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:31.792771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:36.409311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:41.062710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:44.884390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:48.712231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:52.685052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:56.705961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:01.259935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:05.308566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:09.286092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:12.979095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:16.684754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:20.370229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:24.272372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:28.131458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:31.868148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:35.510685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:39.310654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:43.066702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:15.578987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:20.601257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:26.571240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:31.960323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:36.558948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:41.223789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:45.042964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:48.872790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:52.834191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:56.865505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:01.459940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:05.470161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:09.444670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:13.129720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:16.838497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:20.530786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:24.435904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:28.294126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:32.021775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:35.660210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-06-06T21:34:29.348604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:33.953486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:39.116675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:43.070153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:46.803759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:50.598449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:54.697415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:59.043941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:03.384486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:07.445109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:11.200578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:14.856465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:18.528049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:22.488881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:26.289345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:30.044383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:33.663265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:37.501782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:41.090821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:44.862387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:17.891998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:22.901726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:29.528125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:34.126032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:39.304713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:43.231694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:46.972308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:50.769984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:54.894639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:59.223493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:03.548075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:07.605667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:11.361148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:15.010059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:18.698159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:22.649464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:26.467034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:30.213955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:33.828832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:37.662484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:41.251366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:45.022638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:18.172755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:23.194990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:29.771473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:34.299447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:39.484224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:43.393290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:47.142872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:50.938152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:55.068212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:59.413836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:03.790401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:07.772206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:11.522760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:15.194553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:18.872693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:22.812027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:26.634095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:30.387491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:33.987397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:37.830057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:41.404982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:45.191297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:18.825019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:23.380493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:30.073666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:34.635099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:39.658734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:43.565801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:47.318393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:51.116675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:55.247159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:59.598342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:03.967528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:07.945742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:11.688418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:15.363128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:19.049220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:22.979167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:26.814095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:30.562026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:34.157943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:38.005589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:41.578491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:45.358849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:19.049917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:23.837273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:30.355911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:34.980180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:39.851184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:43.735389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:47.501417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:51.291208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:55.428211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:59.784872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:04.145069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:08.121318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:11.866911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:15.555587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:19.222756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:23.148741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:26.984676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:30.736163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:34.331450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:38.178100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:41.753061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:45.514433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:19.239961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:24.118042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:30.551388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:35.247461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:40.076589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:43.894922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:47.665010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:51.443801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:55.586760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:59.978334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:04.301677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:08.285494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:12.024490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:15.701197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:19.381333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:23.302301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:27.145209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:30.899757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:34.489057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:38.330647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:41.923598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:45.664852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:19.414562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:24.369883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:30.828332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:35.420996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:40.235175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:44.061013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:47.834573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:51.594397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:55.826245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:00.203723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:04.463465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:08.446360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:12.181100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:15.885705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:19.539417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:23.454964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:27.299824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:31.059273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:34.637154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:38.489222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:42.083241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:45.854317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:19.616869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:24.656124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:31.013346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:35.606473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:40.386260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:44.218594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:48.000129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:51.751005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:34:55.998902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:00.438098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:04.622604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:08.602915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:12.336656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:16.037325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:19.696001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:23.610112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:27.461390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:31.216444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:34.795748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:38.639821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-06-06T21:35:42.234420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-06-06T21:35:58.769858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Cloud3pmCloud9amDayEvaporationHumidity3pmHumidity9amLocationMaxTempMinTempMonthPressure3pmPressure9amRainTodayRainTomorrowRainfallSunshineTemp3pmTemp9amWindDir3pmWindDir9amWindGustDirWindGustSpeedWindSpeed3pmWindSpeed9am
Cloud3pm1.0000.512-0.000-0.0890.4070.2880.051-0.2190.0190.011-0.073-0.0980.2290.3380.253-0.561-0.247-0.1040.022-0.0170.0210.0760.0110.017
Cloud9am0.5121.0000.010-0.0650.3480.3200.082-0.1910.0750.004-0.040-0.0560.2590.2660.278-0.478-0.196-0.0810.041-0.0150.0330.0470.0460.028
Day-0.0000.0101.000-0.0050.0130.0170.000-0.0010.0000.010-0.018-0.0150.0110.0160.003-0.004-0.001-0.003-0.0090.005-0.008-0.011-0.011-0.009
Evaporation-0.089-0.065-0.0051.000-0.053-0.107-0.3250.1830.154-0.018-0.107-0.1710.0810.024-0.014-0.0200.1730.1920.0120.0200.0020.0860.0570.075
Humidity3pm0.4070.3480.013-0.0531.0000.626-0.071-0.4360.043-0.0120.054-0.0470.3760.4920.432-0.481-0.478-0.1630.014-0.0320.0150.0140.039-0.040
Humidity9am0.2880.3200.017-0.1070.6261.000-0.055-0.462-0.218-0.0880.1660.0760.3690.2660.440-0.394-0.450-0.4320.007-0.0260.003-0.186-0.151-0.282
Location0.0510.0820.000-0.325-0.071-0.0551.000-0.008-0.0040.009-0.0640.0600.0520.049-0.0170.0850.000-0.018-0.0510.014-0.027-0.0040.032-0.018
MaxTemp-0.219-0.191-0.0010.183-0.436-0.462-0.0081.0000.733-0.174-0.425-0.2620.2310.162-0.2980.3250.9710.880-0.1230.075-0.0530.0710.0610.022
MinTemp0.0190.0750.0000.1540.043-0.218-0.0040.7331.000-0.216-0.454-0.3410.0990.0960.0220.0370.7040.890-0.0660.035-0.0070.1990.1770.177
Month0.0110.0040.010-0.018-0.012-0.0880.009-0.174-0.2161.0000.0290.0320.0580.0560.0140.028-0.183-0.151-0.015-0.017-0.0270.0480.0580.050
Pressure3pm-0.073-0.040-0.018-0.1070.0540.166-0.064-0.425-0.4540.0291.0000.7930.1240.223-0.0680.009-0.390-0.4610.053-0.0130.051-0.299-0.223-0.160
Pressure9am-0.098-0.056-0.015-0.171-0.0470.0760.060-0.262-0.3410.0320.7931.0000.1780.223-0.1420.099-0.232-0.331-0.0350.011-0.012-0.357-0.193-0.143
RainToday0.2290.2590.0110.0810.3760.3690.0520.2310.0990.0580.1240.1781.0000.3130.841-0.267-0.231-0.1010.083-0.0580.0480.1390.0750.097
RainTomorrow0.3380.2660.0160.0240.4920.2660.0490.1620.0960.0560.2230.2230.3131.0000.332-0.488-0.189-0.029-0.003-0.0110.0050.2020.0750.081
Rainfall0.2530.2780.003-0.0140.4320.440-0.017-0.2980.0220.014-0.068-0.1420.8410.3321.000-0.305-0.299-0.1530.091-0.0620.0580.1220.0680.083
Sunshine-0.561-0.478-0.004-0.020-0.481-0.3940.0850.3250.0370.0280.0090.099-0.267-0.488-0.3051.0000.3530.196-0.0260.011-0.013-0.0480.0530.027
Temp3pm-0.247-0.196-0.0010.173-0.478-0.4500.0000.9710.704-0.183-0.390-0.232-0.231-0.189-0.2990.3531.0000.851-0.1310.077-0.0510.0490.0530.009
Temp9am-0.104-0.081-0.0030.192-0.163-0.432-0.0180.8800.890-0.151-0.461-0.331-0.101-0.029-0.1530.1960.8511.000-0.0920.053-0.0350.1610.1690.136
WindDir3pm0.0220.041-0.0090.0120.0140.007-0.051-0.123-0.066-0.0150.053-0.0350.083-0.0030.091-0.026-0.131-0.0921.000-0.0200.2830.1050.0810.079
WindDir9am-0.017-0.0150.0050.020-0.032-0.0260.0140.0750.035-0.017-0.0130.011-0.058-0.011-0.0620.0110.0770.053-0.0201.0000.0450.0210.0230.013
WindGustDir0.0210.033-0.0080.0020.0150.003-0.027-0.053-0.007-0.0270.051-0.0120.0480.0050.058-0.013-0.051-0.0350.2830.0451.0000.1300.0460.065
WindGustSpeed0.0760.047-0.0110.0860.014-0.186-0.0040.0710.1990.048-0.299-0.3570.1390.2020.122-0.0480.0490.1610.1050.0210.1301.0000.6020.488
WindSpeed3pm0.0110.046-0.0110.0570.039-0.1510.0320.0610.1770.058-0.223-0.1930.0750.0750.0680.0530.0530.1690.0810.0230.0460.6021.0000.478
WindSpeed9am0.0170.028-0.0090.075-0.040-0.282-0.0180.0220.1770.050-0.160-0.1430.0970.0810.0830.0270.0090.1360.0790.0130.0650.4880.4781.000

Missing values

2024-06-06T21:35:46.117121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-06-06T21:35:46.739055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

DayMonthLocationMinTempMaxTempRainfallEvaporationSunshineWindGustDirWindGustSpeedWindDir9amWindDir3pmWindSpeed9amWindSpeed3pmHumidity9amHumidity3pmPressure9amPressure3pmCloud9amCloud3pmTemp9amTemp3pmRainTodayRainTomorrow
01.012.00.02124513.422.90.616.2646247.3468170.07366444.00.0625880.06245820.024.071.022.01007.71007.18.0000003.28761816.921.80.00.0
12.012.00.0212457.425.10.014.4912857.0372790.06047544.00.0593470.0673224.022.044.025.01010.61007.83.0813613.50985117.224.30.00.0
23.012.00.02124512.925.70.016.5147846.7433520.06687246.00.0625880.06732219.026.038.030.01007.61008.74.8459762.00000021.023.20.00.0
34.012.00.0212459.228.00.016.1206747.0372790.05319724.00.0695200.06032811.09.045.016.01017.61012.83.0813613.30569218.126.50.00.0
45.012.00.02124517.532.31.016.6746045.3532900.07366441.00.0584780.0612187.020.082.033.01010.81006.07.0000008.00000017.829.70.00.0
56.012.00.02124514.629.70.216.3438627.1771290.06047556.00.0625880.07154519.024.055.023.01009.21005.43.0813613.29540820.628.90.00.0
67.012.00.02124514.325.00.015.5868937.4671860.07366450.00.0622300.07154520.024.049.019.01009.61008.21.0000003.34521718.124.60.00.0
78.012.00.0212457.726.70.016.1206747.0372790.07366435.00.0678810.0715456.017.048.019.01013.41010.13.0813613.30569216.325.50.00.0
89.012.00.0212459.731.90.015.7707803.9556540.04946780.00.0695200.0612187.028.042.09.01008.91003.62.8187843.52774118.330.20.01.0
910.012.00.02124513.130.11.416.3438627.2311200.07366428.00.0642430.06591515.011.058.027.01007.01005.73.0813613.28761820.128.21.00.0
DayMonthLocationMinTempMaxTempRainfallEvaporationSunshineWindGustDirWindGustSpeedWindDir9amWindDir3pmWindSpeed9amWindSpeed3pmHumidity9amHumidity3pmPressure9amPressure3pmCloud9amCloud3pmTemp9amTemp3pmRainTodayRainTomorrow
14077715.06.00.0106692.622.50.016.1206747.5330330.06730519.00.0642430.0603289.07.059.024.01025.01021.43.0813613.3056928.822.10.00.0
14077816.06.00.0106695.224.30.016.1206747.5330330.06826324.00.0695200.06032811.011.053.024.01023.81020.03.0813613.30569212.323.30.00.0
14077917.06.00.0106696.423.40.016.1206747.5330330.05503631.00.0642430.06061215.017.053.025.01025.81023.03.0813613.30569211.223.10.00.0
14078018.06.00.0106698.020.70.016.5147846.9597380.05503641.00.0695200.06032819.026.056.032.01028.11024.34.8459767.00000011.620.00.00.0
14078119.06.00.0106697.420.60.016.1206747.5330330.06826335.00.0573340.06032815.017.063.033.01027.21023.33.0813613.30569211.020.30.00.0
14078220.06.00.0106693.521.80.016.1206747.5330330.06826331.00.0573340.06032815.013.059.027.01024.71021.23.0813613.3056929.420.90.00.0
14078321.06.00.0106692.823.40.016.1206747.5330330.06826331.00.0695200.05575513.011.051.024.01024.61020.33.0813613.30569210.122.40.00.0
14078422.06.00.0106693.625.30.016.1206747.5330330.04946722.00.0695200.06266913.09.056.021.01023.51019.13.0813613.30569210.924.50.00.0
14078523.06.00.0106695.426.90.016.1206747.5330330.06792837.00.0695200.0624589.09.053.024.01021.01016.83.0813613.30569212.526.10.00.0
14078624.06.00.0106697.827.00.016.4514165.5633570.07020828.00.0678810.06266913.07.051.024.01019.41016.53.0000002.00000015.126.00.00.0